Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
- drug-discovery
- quantum-chemistry
- deep-learning
- biology
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Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
Official git repository for Biopython (originally converted from CVS)
Official repository for the Boltz biomolecular interaction models
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
Code for running RFdiffusion
The repository host gives no description.
Chai-1, SOTA model for biomolecular structure prediction
Deep probabilistic analysis of single-cell and spatial omics data
The repository host gives no description.
Biological foundation modeling from molecular to genome scale
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
🦖 ClawBio - The first bioinformatics-native AI agent skill library. Local-first. Reproducible. Open. Free.
Scientific workflow engine designed for simplicity & scalability. Trivially transition between one off use cases to massive scale production environments
Cloud-native genomic dataframes and batch computing
ADAM is a genomics analysis platform with specialized file formats built using Apache Avro, Apache Spark, and Apache Parquet. Apache 2 licensed.
Validated, scalable, community developed variant calling, RNA-seq and small RNA analysis
C library for high-throughput sequencing data formats
Foundation Models for Genomics & Transcriptomics
:christmas_tree:Visualization and annotation of phylogenetic trees
Precision Medicine Knowledge Graph (PrimeKG)
Python package for graph neural networks in chemistry and biology
Official implementation for HyenaDNA, a long-range genomic foundation model built with Hyena
In-memory nucleotide sequence k-mer counting, filtering, graph traversal and more
DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome